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Toby Jia-Jun Li

University of Notre Dame

20 papers hereh-index 272.5k citations61 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author10
  • last author3

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.HC14
  • cs.CL2
  • cs.AI1
  • cs.DB1
  • cs.SD1
  • cs.SE1
affiliations
  • University of Notre Dame
Homepage
same name
  • Toby Jia-Jun Li — 13 papers, h 8
  • Toby Jia-Jun Li — 12 papers, h 10
  • Toby Jia-Jun Li — 4 papers, h 1
  • Toby Jia-Jun Li — 3 papers
  • Toby Jia-jun Li — 1 paper
  • Toby Jia-Jun Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedStoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

165 citations · 451 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.HC2020

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications

Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang +3

Supporting voice commands in applications presents significant benefits to users. However, adding such support to existing GUI-based web apps is effort-consuming with a high learni…

cs.HC2020★ 5 cited

Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems

Toby Jia-Jun Li, Jingya Chen, Brandon Canfield +1

An important concern in end user development (EUD) is accidentally embedding personal information in program artifacts when sharing them. This issue is particularly important in GU…

cs.HC2020

Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents

Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell +1

We argue that a key challenge in enabling usable and useful interactive task learning for intelligent agents is to facilitate effective Human-AI collaboration. We reflect on our pa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.